Sr. Principal, DevOps

What you'll do:

Own the architecture, implementation, and day-to-day reliability of our CI/CD pipelines end to end — build, test, package, publish, deploy
Cut build and test cycle times through parallelization, caching, incremental builds, and smarter agent/executor utilization
Build and maintain the build infrastructure itself: build agents, containerized build environments, artifact repositories, and dependency management
Integrate automated testing, code quality gates, static analysis, and security scanning directly into the pipeline, with clear feedback to developers
Define and enforce branching, versioning, and release strategies across teams
Treat pipelines as code — version-controlled, reviewed, reusable, and templated as shared libraries rather than copy-pasted per project
Monitor pipeline health and build reliability; hunt down flaky tests and non-deterministic builds and drive them out
Partner directly with software engineers as the internal service owner of CI — unblock failing builds, onboard new services, and make the paved path the easy path
Lead AI initiatives within the engineering group: integrate AI-driven tooling into the pipeline and the broader SDLC for code review, test generation, failure triage, and developer productivity

What you should have:

10+ years in DevOps, Build/Release Engineering, or a similar role, with CI/CD as a primary responsibility
Deep hands-on expertise with CI/CD platforms (Jenkins strongly preferred — including pipeline-as-code, shared libraries, etc)
Strong Git skills, including branching strategies, merge/rebase workflows, monorepo or multi-repo tradeoffs, and repository administration
Proficiency with Atlassian tooling — Bitbucket, Jira, Confluence — and with automating across them
Experience with artifact and dependency management (Artifactory/JFrog, Nexus, or similar), including repository layout, retention, and promotion policies
Strong scripting and automation skills in Groovy, Bash, Python, or Go
Proficiency with containers and orchestration — Docker, Kubernetes, Helm — particularly for build environments and deployment targets
Experience with test automation frameworks and integrating them into CI, plus code quality tooling (linters, static analysis, coverage, SonarQube or similar)
Working knowledge of cloud platforms (AWS, GCP, or Azure) and Infrastructure as Code (Terraform, CloudFormation) sufficient to provision and maintain delivery infrastructure
Solid Linux system administration, networking, and security fundamentals
Experience with monitoring and observability tooling (Prometheus, Grafana, ELK), especially applied to pipeline and build metrics
Familiarity with AI-assisted development tools such as Claude, GitHub Copilot, or Cursor, and an interest in bringing them into the delivery workflow
Excellent problem-solving and communication skills, with a service-oriented attitude toward the engineering teams you support

Education:

Bachelor’s degree in Computer science, Engineering, or a related field.